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Revealing the Real Picture Behind Safety Performance Statistics

机译:揭示安全性能统计背后的真实情况

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Traditional safety performance continues to be centred round measurements such as Lost Time Injury Frequency Rate (LTIFR) or Total Recordable Injury Rate (TRIR). In themselves, these metrics do not provide an adequate picture of actual safety performance. Naturally, all organisations want to see a continuous improvement in their safety performance as reflected by a steady decrease in LTIFR and / or TRIR. The downside to such measurements is that they do not take into account normal fluctuations that are inevitable, due to the randomness of accidents and incidents. All too often, a period of good safety performance is followed by a period of poor performance. It is not uncommon for this to promote an instinctive reaction by management to investigate what has gone wrong and make changes to correct the problem. Unfortunately, in many cases, a clear picture of what is happening is not available, resulting in uninformed decisions being taken. It is easy to paint a false picture with numbers. This paper describes the issues surrounding misinterpretation of safety performance figures and proposes an alternative metric which can be used not only to measure improving (or otherwise) safety performance but will also accommodate random short term fluctuations in safety figures.
机译:传统的安全性能继续居中循环测量,例如损失时间损失频率率(LTIFR)或完全可识别的伤害率(TRIR)。在本身,这些指标不提供适当的实际安全性能的图片。当然,所有组织都希望在LTIFR和/或TRIR的稳定减少反映时,所有组织都希望在安全性能方面持续改进。此类测量的缺点是由于事故和事故的随机性,它们不会考虑不可避免的正常波动。通常,良好的安全性能的时期是一段时间的表现不佳。通过管理层来调查出现问题的本能反应并不罕见,以纠正问题。不幸的是,在许多情况下,不可用的清晰图片,导致采取不知情的决定。用数字绘制虚假图片很容易。本文介绍了围绕安全性能数据误解的问题,并提出了一种替代度量,不仅可以测量提高(或其他方式)安全性能,而且还将适应安全数据中的随机短期波动。

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